

Amazon EMR and OpenText Analytics Database Vertica compete in the realm of analytics solutions. While Amazon EMR is favored for its integration with AWS services and scalability, Vertica is recognized for its comprehensive functionality justified by its cost.
Features: Amazon EMR supports easy integration with AWS services, provides managed services to ease hardware management, and features robust scalability options. Vertica offers columnar storage, excellent query performance, and strong analytics and machine learning capabilities.
Room for Improvement: Amazon EMR could enhance its user interface usability, improve versioning support, and simplify scaling processes. Vertica could benefit from better documentation, a more intuitive user interface, and improved cloud capabilities.
Ease of Deployment and Customer Service: Amazon EMR benefits from AWS's public cloud deployment model and a strong support network, though experiences with customer service can vary. Vertica's deployment is flexible across hybrid, on-premises, and cloud environments. However, its customer service feedback is mixed.
Pricing and ROI: Amazon EMR offers flexible pay-as-you-go pricing tied to EC2 infrastructure, catering to varying usage levels. Vertica determines pricing based on data size, appealing to businesses with well-defined data growth plans but perceived as pricey. Both solutions report solid ROI, adapted to their target use cases.
I would rate the technical support from Amazon as ten out of ten.
We get all call support, screen sharing support, and immediate support, so there are no problems.
They help with billing, cost determination, IAM properties, security compliance, and deployment and migration activities.
Scalability can be provisioned using the auto-scaling feature, EC2 instances, on-demand instances, and storage locations like block storage, S3, or file storage.
Regular updates, patch installations, monitoring, logging, alerting, and disaster recovery activities are crucial for maintaining stability.
The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2.
I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.
There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB.
Cost optimization can be achieved through instance usage, cluster sharing, and auto-scaling.
I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.
Amazon EMR helps in scalability, real-time and batch processing of data, handling efficient data sources, and managing data lakes, data stores, and data marts on file systems and in S3 buckets.
Amazon EMR provides out-of-the-box solutions with Spark and Hive.
We are using it to clean the data and transform the data in such a way that the end-user can get the insights faster.
| Product | Market Share (%) |
|---|---|
| OpenText Analytics Database (Vertica) | 6.1% |
| Amazon EMR | 3.4% |
| Other | 90.5% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 5 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 23 |
| Large Enterprise | 38 |
OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.
OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.
What features define OpenText Analytics Database Vertica?OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.
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